---
title: "Dan's Dashboarding"
output: 
  flexdashboard::flex_dashboard:
    orientation: row
    vertical_layout: fill
    social: ["menu"]
    source_code: embed
    theme:
      version: 4
      bootswatch: sandstone
---

```{r setup, include=FALSE}
#bootswatch.com for more themes
library(flexdashboard)
library(tidyverse)
library(palmerpenguins)
library(plotly)
library(DT)
library(fontawesome)
data("penguins")
```

Plots {data-navmenu="Pages"}
=====================================================================

Sidebar{.sidebar}
------------------------------------------------------------------

### Penguin Stats
The number of penguins in the data is `r nrow(penguins)`

Row
------------------------------------------------------------------

### Number of penguins

```{r}
valueBox(nrow(penguins), icon = "fa-linux")
#fontawesome.com for other icons and options
```

### Avg Body Mass

```{r}
avg_mass = round(mean(penguins$body_mass_g, na.rm=T), 1)

gauge(avg_mass,
      min(0),
      max = max(penguins$body_mass_g, na.rm=T),
      gaugeSectors(success = c(4000,6300),
                   warning = c(2000,3999),
                   danger = c(0,1999)))
```

Column {.tabset}
---------------------------------------------------------------------

### Chart A

```{r}
a= penguins %>% ggplot(aes(x=bill_length_mm, y = bill_depth_mm, color = species))+geom_point()
ggplotly(a)

#htmlwidgets.org great resource for plotting widgets
```


---------------------------------------------------------------------

### Chart B

```{r}

```

### Chart C

```{r}

```
Data {data-navmenu="Pages"}
=====================================================================
```{r}
penguins %>% datatable(extensions = "Buttons", 
                       options = list(dom="Blfrtip",
                                      buttons = c("copy", "csv", "excel", "pdf", "print")))

#use datatables.net to customize your html tables
```